Garg Suruchi, Khan Nishat, Makadia Shyamkumar
Department of Dermatology, Aesthetic and Intervention Dermatology, Aura Skin Institute, Chandigargh, India.
Indian J Dermatol Venereol Leprol. 2018 Nov-Dec;84(6):672-677. doi: 10.4103/ijdvl.IJDVL_418_17.
Aging is an inevitable biological change, but understanding the process of aging of face is important to customize the treatment options for facial rejuvenation. Evidence-based estimation of global facial aging is necessary for the validation of various treatment modalities.
Classification and implementation of a scoring system for aging face based upon volume loss and surface changes as evident by drooping of different areas of the face and appearance of fine and deep wrinkles, respectively, and to apply this drooping-wrinkles classification on 54 participants to evaluate and understand the validity of scoring.
An observational study was conducted, and scores were calculated based on 13 parameters (7 areas of drooping and 6 areas of wrinkles on the face) at Aura Skin Institute, Chandigarh, India. Accordingly, age was divided in different age groups followed by clinical estimation of facial age and calculation of scores.
According to our classification and scoring system, 61% (33 out of 54) of the participants were correlated with their chronological age group. Out of the remaining 21 (39%) participants who were aging faster, 13 (24%) were in the age group of 25-35 years. Approximately one-fourth of the patients in the age groups 36-45 and 46-55 years were aging faster. Only 1 patient had scores showing younger age in comparison to chronological age. Overall, there was a good correlation between the calculated score and the chronological age of patients. Moreover, a gradual increase in scores was noticed with increasing age groups.
This is a new clinical classification and scoring system for facial age which is much easier to apply in daily clinical practice for easy calculation of baseline scores and customizing their antiaging treatment options. Moreover, it will also make it easier to compare the efficacy of treatment in their future follow-ups. The limitation of this study is that it has been proposed for all skin types but validation has been done only for Indian participants.
衰老是不可避免的生物学变化,但了解面部衰老过程对于定制面部年轻化治疗方案很重要。基于证据对面部整体衰老进行评估对于验证各种治疗方式是必要的。
根据面部不同区域下垂(分别反映体积流失)和出现细纹及深皱纹(分别反映表面变化)情况,对面部衰老评分系统进行分类和实施,并将此下垂 - 皱纹分类应用于54名参与者,以评估和理解评分的有效性。
在印度昌迪加尔的奥若拉皮肤研究所进行了一项观察性研究,根据13个参数(面部7个下垂区域和6个皱纹区域)计算分数。据此,将年龄分为不同年龄组,随后进行面部年龄的临床评估和分数计算。
根据我们的分类和评分系统,61%(54名中的33名)参与者与他们的实际年龄组相符。在其余21名(39%)衰老较快的参与者中,13名(24%)在25 - 35岁年龄组。36 - 45岁和46 - 55岁年龄组中约四分之一的患者衰老较快。只有1名患者的分数显示比实际年龄年轻。总体而言,计算出的分数与患者的实际年龄之间存在良好的相关性。此外,随着年龄组的增加,分数逐渐升高。
这是一种新的面部年龄临床分类和评分系统,在日常临床实践中更易于应用,便于计算基线分数并定制抗衰老治疗方案。此外,这也将使在未来随访中比较治疗效果更加容易。本研究的局限性在于它适用于所有皮肤类型,但仅对印度参与者进行了验证。